Intelligent Distributed Computing V

The application of the theory and practice of art to computer science: how aesthetics and art can play a role in computing disciplines. In "Aesthetic Computing", key scholars and practitioners from ar

James Spillane, the leading expert in Distributed Leadership, shows how leadership happens in everyday practices in schools, through formal routines and informal interactions. He examines the distrib

McCarty (humanities computing, King's College London) has lectured and published widely on the intellectual foundations for humanities computing. In this text, he offers professionals in the humanitie

A sequel to Mobile Processing in Distributed and Open Environments, this title introduces an extended, universal WAVE-WP model for distributed processing and control in dynamic and open worlds of any

This uniquely crafted work combines the experience of many internationally recognized experts in the soft- and hard-computing research worlds to present practicing engineers with the broadest possible

Principles for constructing intelligent systems Design of Logic-based Intelligent Systems develops principles and methods for constructing intelligent systems for complex tasks that are readily done b

In writing The Intelligent School, the authors offer a practical resource to schools to help them maximize their improvement efforts. The aim is to help schools to be intelligent organizations; to be

Innovations in Intelligent Systems is a rare collection of the latest developments in intelligent paradigms such as knowledge-based systems, computational intelligence and hybrid combinations as well

Going Virtual: Distributed Communities of Practice contributes to the understanding of how more subtle kinds of knowledge can be managed in a distributed international environment. It describes academ

Intrusion Detection In Distributed Systems: An Abstraction-Based Approach presents research contributions in three areas with respect to intrusion detection in distributed systems. The first contribut

Barnaby describes how to use the new .NET technologies to build fast, scalable, and robust distributed applications.

Large and complex software systems, such as Internet applications, depend on distributed applications. Although Java has helped reduce the complexity of distributed systems, developers still have to c

The pay-offs for creating distributed applications are in achieving portability, scalability and fault-tolerance. In order to simplify building software that performs robustly regardless of platform o

A state-of-the-art guide for the implementation of distributed simulation technology.The rapid expansion of the Internet and commodity parallel computers has made parallel and distributed simulation (

This is the first book on DNA computing, a molecular approach that may revolutionize computing-replacing silicon with carbon and microchips with DNA molecules. The book starts with an introduction to

This is the first book on DNA computing, a molecular approach that may revolutionize computing-replacing silicon with carbon and microchips with DNA molecules. The book starts with an introduction to

1. 本書依據東大圖書曾麗玲教授主編之高職英文 (B版) V (6課版) 課本編寫，總計6課，每課皆有約30題的習題。 2. 透過多元題型，如字彙、文法、對話、綜合測驗、手寫練習等，讓學生能更熟悉各課內容，並增進學習興趣。 3. 為增進學生學習英文之趣味性，特將字彙題以四種有趣的方式輪流出題，包括Word Shape, Word Search, Scramble and Crosswo

依據東大圖書公司黃志民主編高職國文Ｖ課本編寫 本書專為高職升學所寫，幫助學生們掌握國文科考試方向。內容包含下列十部分： 一、課前導讀：以深入淺出的介紹引領同學於課前預先了解該課的大意。 二、題解說明：條列出處、篇旨、文體概述，及相關資料補充，一目瞭然。 三、作者介紹：除對課本所記的作者介紹作詳細注解外，並補充與該作者相關之資料，使同學能更清楚認識作者的生平事跡。 四、課文精讀：含各段（篇）大意、

What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool for the job? These questions are answered by Michael Negnevitsky’s Artificial Intelligence: A Guide to Intelligent Systems.Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations, this text demonstrates that the ideas behind intelligent systems are simple and straightforward. This text assumes little or no programming experience as it tackles topics like expert systems, fuzzy systems, artificial neural networks, evolutionary computation, knowledge engineering, and data mining.TABLE OF CONTENTS1. Introduction to Intelligent Systems 1.1 Intelligent Machines, or What Machines Can Do 1.2 The History of Artificial Intelligence, or From the ‘Dark Ages’ to Knowledge-based Systems 1.3 Generative AI 1.4 Summary Questions fo

A hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenarios Key Features: Augment your basic computing skills with an in-depth introduction to JuliaFocus on topic-based approaches to scientific problems and visualisationBuild on prior knowledge of programming languages such as Python, R, or C/C++Purchase of the print or Kindle book includes a free PDF eBook Book Description: Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second.This book is a primer on Julia's approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing.Starting off with a refresher on installing and running Julia on different platforms, you'll quickly get to grips with the core concept

Distributed Ledger Technology (DLT) is a way of managing, storing, and sharing information over a distributed network. The position of DLT in banking can be seen as controversial as it is a rapidly evolving technology with both potential benefits and challenges. The Role of Distributed Ledger Technology in Banking presents a balanced assessment of both the opportunities and risks behind such recent innovations. Combining theory and practice, it explores the impact of DLT in the banking sector and offers the opportunity to exploit different points of view from different disciplines. It presents topics from both a theoretical and practical point of view, highlighting concrete applications. Written by a team of experts from academia and the banking sector, this book looks at DLT not as a threat but as an exciting opportunity to bring the banking/financial system in the future.

Learn How to Better Understand Distributed System Design and Solve Common Problems Enterprises today rely on a range of distributed software handling data storage, messaging, system management, and compute capability. Distributed system designs need to be implemented in some programming language, and there are common problems that these implementations need to solve. These problems have common recurring solutions. A patterns approach is very suitable to describe these implementation aspects. Patterns by nature are generic enough to cover a broad range of products from cloud services like Amazon S3 to message brokers like Apache Kafka to infrastructure frameworks like Kubernetes to databases like MongoDB or Actor frameworks like Akka. At the same time the pattern structure is specific enough to be able to show real code. The beauty of this approach is that even if the code structure is shown in one programming language (Java in this case), the structure applies to many other programming

Now Fully Updated: The Definitive, Vendor-Neutral Guide to Cloud Computing Success Cloud computing offers immense opportunities to improve agility and competitiveness - as well as significant risks. To maximize value and avoid pitfalls, you need a thorough, vendor-neutral understanding of today's technologies, models, tools, and architectures. Cloud Computing, Second Edition presents up-to-date knowledge for every facet of cloud computing: from scoping projects through designing solutions, assessing providers to administering resources and managing cost. Renowned IT author Thomas Erl and enterprise cloud expert Eric Barcel?Monroy distill proven technologies and practices into well-defined concepts, models, mechanisms, and architectures. Each is explained in ways that align with modern industry usage, to help you clearly understand and assess your options. First, the authors show how cloud computing emerged and evolved, introducing core concepts, models, components, and security issues

An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deplo

For 80 years, mathematics has driven fundamental innovation in computing and communications. This timely book provides a panorama of some recent ideas in mathematics and how they will drive continued innovation in computing, communications and AI in the coming years. It provides a unique insight into how the new techniques that are being developed can be used to provide theoretical foundations for technological progress, just as mathematics was used in earlier times by Turing, von Neumann, Shannon and others. Edited by leading researchers in the field, chapters cover the application of new mathematics in computer architecture, software verification, quantum computing, compressed sensing, networking, Bayesian inference, machine learning, reinforcement learning and many other areas.

This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first to bring these strands together in an updated manner. This work is suitable for both academic coursework and corporate technical training.The second edition includes extensive updates and revisions, both to textual content and to the code. Sections have been added on quantum machine learning, quantum error correction, Dirac notation and more. This new edition benefits from the input of the many faculty, students, corporate engineering teams, and independent readers who have used the first edition.This volume comprises three books under one cover: Part I outlines the necessary foundations of quantum computing and quantum circuits. Part II walks through the canon of quantum computing algorithms and provides code on a range of quantum computing methods in current use. Part III covers the mathematical toolkit required to master quantum computing. Additional reso

Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. The book discusses each of these abilities, presents working implementations, and combines coherent and original deliberative architecture for human-robot interaction. Supported by experimental results, the book shows how explicit knowledge management can be instrumental in richer and more natural human-robot interactions by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications.

Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Summary Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you'll build your own quantum simulator and apply quantum programming techniques to real-world examples including cryptography and chemical analysis. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Quantum computers present a radical leap in speed and computing power. Improved scientific simulations and new frontiers in cryptography that are impossible with classical computing may soon be in reach. Microsoft's Quantum Development Kit and the Q# language give you the tools to experiment with quantum computing without knowing advanced math or theoretical physics. About the book Learn Quantum Computing with Python and Q# introduces quantum computing from a practical pers

An essential collection of 100 practical, tried-and-tested ideas for teaching computing in secondary schools. This is the perfect resource for computing teachers at all levels, whether specialist or n

This handbook focuses on the study of distributed team cognition, defined by information, technology, people, work, and context. This four-volume handbook set, defines current worldviews of distribute

This book looks at fundamentals, theoretical concepts, and how theory informs perspectives of thinking for distributed team cognition. The chapters yield a broad understanding of the nature of diverse

The Intelligent Nation proposes a systemic and radical transformation of the organisation, management, ownership and performance of the services of the state by capitalising on the potential offered b

The Intelligent Nation proposes a systemic and radical transformation of the organisation, management, ownership and performance of the services of the state by capitalising on the potential offered b

This book provides a comprehensive textbook on Distributed Denial of Service (DDoS) attacks. It will present both their history and the necessary technical background, including the social impact, eco

This book provides a comprehensive textbook on Distributed Denial of Service (DDoS) attacks. It will present both their history and the necessary technical background, including the social impact, eco

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to unders

This book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing. It exp

AN ESSENTIAL GUIDE TO USING BLOCKCHAIN TO PROVIDE FLEXIBILITY, COST-SAVINGS, AND SECURITY TO DATA MANAGEMENT, DATA ANALYSIS, AND INFORMATION SHARINGBlockchain for Distributed Systems Security con

This book offers an introduction to piezoelectric shells and distributed sensing, energy harvesting and control applications. It familiarizes readers with a generic approach of piezoelectric shells an

A concise introduction to key computing skills for biologistsWhile biological data continues to grow exponentially in size and quality, many of today’s biologists are not trained adequately in the computing skills necessary for leveraging this information deluge. In Computing Skills for Biologists, Stefano Allesina and Madlen Wilmes present a valuable toolbox for the effective analysis of biological data.Based on the authors’ experiences teaching scientific computing at the University of Chicago, this textbook emphasizes the automation of repetitive tasks and the construction of pipelines for data organization, analysis, visualization, and publication. Stressing practice rather than theory, the book’s examples and exercises are drawn from actual biological data and solve cogent problems spanning the entire breadth of biological disciplines, including ecology, genetics, microbiology, and molecular biology. Beginners will benefit from the many examples explained step-by-step, while more